Senior Solutions Architect (Databricks)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Solutions Architect (Databricks): Designing and implementing production-grade big data solutions for strategic enterprise customers with an accent on Apache Spark, Databricks, data engineering, and cloud architecture. Focus on optimizing end-to-end data pipelines, guiding model deployment, solving complex performance challenges, and presenting technical strategies to senior stakeholders.
Location: Remote from Brazil, with significant time zone overlap with clients; rare exceptions may be agreed upon.
Company
Provides data warehouses, business intelligence, data analytics, application development, and other business technology solutions for Hungarian and international customers.
What you will do
- Provide post-sales technical leadership for strategic customers building large-scale big data projects.
- Design architectures spanning data engineering, production workloads, and model deployment.
- Lead performance testing and optimization of end-to-end data pipeline loads.
- Align technical roadmaps with customer business goals and identify initiatives that create measurable data value.
- Deliver tutorials, training sessions, hackathons, and conference presentations to support community adoption.
Requirements
- Hands-on expertise with Apache Spark and Databricks across several large-scale projects.
- Databricks Certified Data Engineer Professional certification.
- More than 5 years of software or data engineering experience, including query tuning, performance tuning, troubleshooting, and debugging.
- Experience with Hadoop, NoSQL, MPP, OLTP, OLAP, cloud services, and programming in Python, Scala, or Java.
- Familiarity with CI/CD, testing, automation, orchestration, REST APIs, BI tools, and SQL interfaces.
- Advanced English and significant client time zone overlap are required.
Nice to have
- Data science or ML engineering experience, including model selection, lifecycle management, hyperparameter tuning, model serving, deep learning, and MLflow.
- Customer-facing experience in pre-sales, post-sales, technical architecture guidance, or consulting.
Culture & Benefits
- Flexible ways of working with autonomy over when and how work is performed.
- Mentoring and continuous support from the first day.
- Learning and development opportunities through training and career support.
- Diverse technical and business projects with opportunities for professional growth.
- Supportive, respectful culture focused on collaboration and work-life balance.
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